Crowdsourced data hold great potential in creating metrics which can support city planning. Devices such as smartphones, with their sensor capabilities including GPS can be used to capture a wealth of mobility data at the scale of individual trips. However, the use of crowdsourced data for city planning is still hindered by doubts about their accuracy, objectivity and representativeness. This study proposes a validation process with five criteria – geographic coverage, origin-destination match, demographic match, distance–duration distributions, and route match – to assess different representativeness aspects of mobility data. The validation process is demonstrated using a crowdsourced data on bicycling in Sydney, Australia, compared with Census Journey to Work data. Results indicate a good overall fit of the sample against the population, but variations across the five criteria. Implications of these variations on the suitable uses for the crowdsourced data are discussed, and current limitations of the proposed approach are identified.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Validating crowdsourced bicycling mobility data for supporting city planning


    Contributors:

    Published in:

    Transportation Letters ; 11 , 9 ; 486-497


    Publication date :

    2019-10-10


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Crowdsourced data for bicycling research and practice

    Nelson, Trisalyn / Ferster, Colin / Laberee, Karen et al. | Taylor & Francis Verlag | 2021

    Free access

    Where to Put Bike Counters? Stratifying Bicycling Patterns in the City Using Crowdsourced Data

    Vanessa Brum-Bastos / Colin J. Ferster / Trisalyn Nelson et al. | DOAJ | 2019

    Free access

    Crowdsourced bicycling crashes and near misses: trends in Canadian cities

    Laberee, Karen / Nelson, Trisalyn / Branion-Calles, Michael et al. | Taylor & Francis Verlag | 2021

    Free access

    Crowdsourced bicycling crashes and near misses: trends in Canadian cities

    Karen Laberee / Trisalyn Nelson / Michael Branion-Calles et al. | DOAJ | 2021

    Free access

    Planning for bicycling in Copenhagen

    Roerbech, J. | British Library Conference Proceedings | 1990